by lanbaoshen · MCP Server · ★ 124
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MCP Jenkins The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security. Installation Choose one of these installation methods: Line Arguments When using command line arguments, you can specify the Jenkins server details as follows: Description
| Stars | 124 |
| Forks | 51 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 77.4964043196132/100 |
| Open Issues | 4 |
| Last Updated | 2026-05-26 |
| Created | 2025-04-02 |
| Platforms | mcp, python |
| Est. Tokens | ~36k |
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mcp-jenkins is The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI inter. It is categorized as a MCP Server with 124 GitHub stars.
mcp-jenkins is primarily written in Python. It covers topics such as jenkins, mcp-server.
You can find installation instructions and usage details in the mcp-jenkins GitHub repository at github.com/lanbaoshen/mcp-jenkins. The project has 124 stars and 51 forks, indicating an active community.
mcp-jenkins is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-jenkins on Agent Skills Hub include jenkins-cli. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.